For the M&M Lab our question was: How many M&M's don't have complete "M's."
Our procedure for the lab was to open the bag of M&M's, and then count the amount of colors there are. Then, we flipped them over and counted how many M&M's didn't have complete "M's", and how many did.
Hypothesis- Is a educated guess on a scientific topic Data gathering- Researching and collecting evidence on an experiment Multiple trials- More than one set of data and tests/experiments performed to find more accurate data Variance- How far asset of numbers are spread out. (0=the same) Average- The center number in a set of Data Median- The middle number in a set of data in numerical order Mode- The number that appears the most often in a set of data Histogram- Bar graph with dates Pie chart- A circle chart cut into pieces that look like a pie split into data Inference- Reading in between the lines, making a guess on what you know
After completing the Data for the M&M lab I have found a way to determine the number of M&Ms in a bag that can be bought at the grocery store. First you have to make a hypothesis and guess how many there are in the bag, then, you have to collect data from the bag that you have received from the store after that you should test the variance to see if the bag of M&Ms is different from the other bags you’ve previously had. You should try to find the mode or the most common value take the answer and compare it to the average, when you get your answer do multiple trials in case your theory turns out to be proven wrong or to gain more reassurance of your answer, to record your data in a more neater and professional manner you can record it in a histogram which is a consistency of a variable or a pie chart which shows the percentage cut into sections to show the size of data you collected after this you want to make an inference to explain your results and evidence. After doing all of this you can determine the accurate amount of M&Ms in a random bag at the grocery store.
Elia G.
Kylee L.
Willie H.
Zander N.
M&M Lab
For the M&M Lab our question was: How many M&M's don't have complete "M's."
Our procedure for the lab was to open the bag of M&M's, and then count the amount of colors there are. Then, we flipped them over and counted how many M&M's didn't have complete "M's", and how many did.
Hypothesis- Is a educated guess on a scientific topic
Data gathering- Researching and collecting evidence on an experiment
Multiple trials- More than one set of data and tests/experiments performed to find more accurate data
Variance- How far asset of numbers are spread out. (0=the same)
Average- The center number in a set of Data
Median- The middle number in a set of data in numerical order
Mode- The number that appears the most often in a set of data
Histogram- Bar graph with dates
Pie chart- A circle chart cut into pieces that look like a pie split into data
Inference- Reading in between the lines, making a guess on what you know
After completing the Data for the M&M lab I have found a way to determine the number of M&Ms in a bag that can be bought at the grocery store. First you have to make a hypothesis and guess how many there are in the bag, then, you have to collect data from the bag that you have received from the store after that you should test the variance to see if the bag of M&Ms is different from the other bags you’ve previously had. You should try to find the mode or the most common value take the answer and compare it to the average, when you get your answer do multiple trials in case your theory turns out to be proven wrong or to gain more reassurance of your answer, to record your data in a more neater and professional manner you can record it in a histogram which is a consistency of a variable or a pie chart which shows the percentage cut into sections to show the size of data you collected after this you want to make an inference to explain your results and evidence. After doing all of this you can determine the accurate amount of M&Ms in a random bag at the grocery store.